PaisaMaps for business
Product Platform overviewMap, signals, workspace and API in one tourLive mapSpending power for every pincode, six ways to see itWorkspaceProjects, store data, compare, reportsSignals & dataWhat we capture, from where, how oftenExpansion forecastFrom a budget to ranked sites and revenue rangesData API & exportsCSV, Excel, JSON and API keys
Solutions Retail & F&BWhere to open the next storeReal estate & hotelsCatchment demand for projects and propertiesLenders, NBFC & fintechArea-level affordability and market sizeAny businessD2C, franchises, services, SMEsAgencies & consultantsStrategy firms working for many clientsSite selectionRank candidate pincodesMarket sizingHouseholds × spend for any areaCatchment analysisWho lives around a siteCredit & affordabilityAn area input for lendingTerritory planningBalance sales territoriesPortfolio benchmarkingScore the stores you already have
Pricing
Resources How it worksBefore and after you sign inWhy PaisaMapsWhat's different, honestly comparedMethodologyHow every score is built, checked and labelledSecurityHow your account and data are protectedFAQProduct, data, pricing, securityHelp & supportGet an answer from a person
Open the mapTalk to us

Use case · Credit & affordability

An area signal for lending.

Add documented, area-level affordability to how you source, size and plan, alongside your own customer data.

Credit & affordability

Before you start

An area signal has an area's limits

It tells you

  • How affluent and how banked a pincode is, compared with others
  • Where a product's market is larger or smaller

It doesn't tell you

  • Anything about one applicant
  • Income measured at household level: these are modelled estimates

How it's done

From signals to your model

  1. Choose signals

    Income, spend, branches, deposits, UPI value, tax filers.

    Choose signals
  2. Export by pincode

    CSV, Excel, JSON, or an API key for refreshes.

  3. Join to your book

    Match on pincode in your own systems.

  4. Review and monitor

    Through your model governance; refresh as sources update.

Worked example

Phasing a microfinance expansion

Illustrative example, not a customer story
  1. ExportPurchasing power, branches per lakh and deposits per person for the state.
  2. ScoreRank pincodes on spending power against banking density.
  3. OverlayJoin to the MFI's own target-segment data on pincode.
  4. PhaseYear-one branches in the top-ranked areas.

The decision

Branch phasing follows areas where spending power is ahead of banking supply; the area features go through model review before use.

What the team walks away with

  • A phased branch plan
  • Area features joined on pincode
  • A documented source for every signal

By industry

How each industry uses it

IndustryWhat they do with it
Lenders, NBFC & fintech →Adds area affordability as a feature next to bureau and customer data.
Agencies & consultants →Supplies documented area features for a lender client's model.

Signals that matter here

Which signal answers which question

Every plan sees purchasing power, income and spend. These are the signal groups that move this decision.

Signal groupWhat it tells youThe decision it feeds
Purchasing powerHow much a typical household earns and spends, and how that ranks in its stateWhere your price point has enough customers; which sites to shortlist
Banking & UPIHow banked and how digitally active an area isWhere credit, payments or premium products will be adopted first
Tax & economyHow many people file income tax, and the local business baseFormal-income depth for lending; B2B and SME demand

Each signal's source and level (pincode, district or state) is listed on the signals page.

What you walk away with

A documented area input

You get

  • Pincode-level income and spend estimates
  • Banking and tax signals with their levels
  • Exports and an API

You don't need

  • To share any customer data with us
  • A new data vendor integration
  • Household-level surveys

Tell us the product

We'll show you an export you can test in your model.